A citation-based method for searching scientific literature

Wulfram Gerstner, Richard Naud. Science 2009
Times Cited: 103







List of co-cited articles
705 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.
Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto. Front Comput Neurosci 2009
72
40

Simple model of spiking neurons.
E M Izhikevich. IEEE Trans Neural Netw 2003
914
28


How spike generation mechanisms determine the neuronal response to fluctuating inputs.
Nicolas Fourcaud-Trocmé, David Hansel, Carl van Vreeswijk, Nicolas Brunel. J Neurosci 2003
271
21

Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
489
21

A benchmark test for a quantitative assessment of simple neuron models.
Renaud Jolivet, Ryota Kobayashi, Alexander Rauch, Richard Naud, Shigeru Shinomoto, Wulfram Gerstner. J Neurosci Methods 2008
73
27

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
596
20

Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner. J Comput Neurosci 2006
116
20

Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces.
Laurent Badel, Sandrine Lefort, Romain Brette, Carl C H Petersen, Wulfram Gerstner, Magnus J E Richardson. J Neurophysiol 2008
115
19

The quantitative single-neuron modeling competition.
Renaud Jolivet, Felix Schürmann, Thomas K Berger, Richard Naud, Wulfram Gerstner, Arnd Roth. Biol Cybern 2008
62
27


Firing patterns in the adaptive exponential integrate-and-fire model.
Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner. Biol Cybern 2008
109
16

Reliability of spike timing in neocortical neurons.
Z F Mainen, T J Sejnowski. Science 1995
15

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
153
13

A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
493
13

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
194
13


The high-conductance state of neocortical neurons in vivo.
Alain Destexhe, Michael Rudolph, Denis Paré. Nat Rev Neurosci 2003
656
13

Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms.
Skander Mensi, Richard Naud, Christian Pozzorini, Michael Avermann, Carl C H Petersen, Wulfram Gerstner. J Neurophysiol 2012
46
28

The brian simulator.
Dan F M Goodman, Romain Brette. Front Neurosci 2009
179
12

Efficient estimation of detailed single-neuron models.
Quentin J M Huys, Misha B Ahrens, Liam Paninski. J Neurophysiol 2006
73
16


Automatic fitting of spiking neuron models to electrophysiological recordings.
Cyrille Rossant, Dan F M Goodman, Jonathan Platkiewicz, Romain Brette. Front Neuroinform 2010
31
38

A threshold equation for action potential initiation.
Jonathan Platkiewicz, Romain Brette. PLoS Comput Biol 2010
89
13

Temporal whitening by power-law adaptation in neocortical neurons.
Christian Pozzorini, Richard Naud, Skander Mensi, Wulfram Gerstner. Nat Neurosci 2013
95
12

A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data.
Shaul Druckmann, Yoav Banitt, Albert Gidon, Felix Schürmann, Henry Markram, Idan Segev. Front Neurosci 2007
146
11



Modeling single-neuron dynamics and computations: a balance of detail and abstraction.
Andreas V M Herz, Tim Gollisch, Christian K Machens, Dieter Jaeger. Science 2006
173
10

Large-scale model of mammalian thalamocortical systems.
Eugene M Izhikevich, Gerald M Edelman. Proc Natl Acad Sci U S A 2008
393
10

Noise in the nervous system.
A Aldo Faisal, Luc P J Selen, Daniel M Wolpert. Nat Rev Neurosci 2008
10

Fitting neuron models to spike trains.
Cyrille Rossant, Dan F M Goodman, Bertrand Fontaine, Jonathan Platkiewicz, Anna K Magnusson, Romain Brette. Front Neurosci 2011
26
38

A universal model for spike-frequency adaptation.
Jan Benda, Andreas V M Herz. Neural Comput 2003
235
10


Unique features of action potential initiation in cortical neurons.
Björn Naundorf, Fred Wolf, Maxim Volgushev. Nature 2006
190
9


Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
Christian Pozzorini, Skander Mensi, Olivier Hagens, Richard Naud, Christof Koch, Wulfram Gerstner. PLoS Comput Biol 2015
33
27






Interneurons of the neocortical inhibitory system.
Henry Markram, Maria Toledo-Rodriguez, Yun Wang, Anirudh Gupta, Gilad Silberberg, Caizhi Wu. Nat Rev Neurosci 2004
8





Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex.
Michael London, Arnd Roth, Lisa Beeren, Michael Häusser, Peter E Latham. Nature 2010
212
8

Ultrafast population encoding by cortical neurons.
Tatjana Tchumatchenko, Aleksey Malyshev, Fred Wolf, Maxim Volgushev. J Neurosci 2011
53
15


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.